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Weekly Roundup – January 24, 2026

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Monday Morning Update 1/26/26

January 24, 2026January 24, 2026
Acceptability of Telehealth as the Default Modality for Multiple Sclerosis Care in Switzerland: Cross-Sectional Study

Acceptability of Telehealth as the Default Modality for Multiple Sclerosis Care in Switzerland: Cross-Sectional Study

January 24, 2026January 24, 2026
Failed Implementation of Mobile Access to Electronic Health Records in Home Care: Qualitative Study in Sweden

Failed Implementation of Mobile Access to Electronic Health Records in Home Care: Qualitative Study in Sweden

January 24, 2026January 24, 2026
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Tag: Intensive Care

Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction

Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction

January 4, 2026January 6, 2026npj Digital Medicine

Artificial Intelligence has revolutionised critical care for common conditions. Yet, rare conditions in the intensive care unit (ICU), including recognised rare diseases and low-prevalence conditions in the ICU, remain underserved due to data scarcity…

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FDA Clears Ceribell’s AI-Powered EEG as First Device for Continuous Delirium Monitoring

FDA Clears Ceribell’s AI-Powered EEG as First Device for Continuous Delirium Monitoring

December 12, 2025December 13, 2025HIT Consultant

What You Should Know: 

– Ceribell, Inc. has secured FDA 510(k) clearance for the world’s first continuous, AI-powered delirium monitoring solution, expanding its existing EEG platform beyond seizure detection. 

– The technology addresses a massive gap…

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Unlocking the potential of real-time ICU mortality prediction: redefining risk assessment with continuous data recovery

Unlocking the potential of real-time ICU mortality prediction: redefining risk assessment with continuous data recovery

November 28, 2025November 29, 2025npj Digital Medicine

Real-time prediction of short-term mortality risk in the intensive care unit (ICU) is often hampered by missing medical data. To address this, we developed RealMIP, an end-to-end framework leveraging generative model for the dynamic…

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Ceribell Receives FDA Clearance for Clarity® AI, Becoming First Point-of-Care EEG for All Ages

Ceribell Receives FDA Clearance for Clarity® AI, Becoming First Point-of-Care EEG for All Ages

November 25, 2025November 26, 2025HIT Consultant

What You Should Know: 

– Ceribell, Inc. today announced that the U.S. FDA has granted 510(k) clearance for its next-generation Clarity® algorithm. 

– The FDA clearance makes the Ceribell System the first and only AI-powered point-of-care…

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The hidden risk of round numbers and sharp thresholds in clinical practice

The hidden risk of round numbers and sharp thresholds in clinical practice

November 22, 2025November 22, 2025npj Digital Medicine

Clinical decision-making often simplifies continuous risk data into discrete levels using round-number thresholds. These simplifications can distort risk assessments. To systematically uncover these distortions, we develop an interpretable machine learning model that identifies anomalies…

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Large language models forecast patient health trajectories enabling digital twins

Large language models forecast patient health trajectories enabling digital twins

October 1, 2025October 1, 2025npj Digital Medicine

Generative artificial intelligence is revolutionizing digital twin development, enabling virtual patient representations that predict health trajectories, with large language models (LLMs) showcasing untapped clinical forecasting potential. We developed the Digital Twin—Generative Pretrained Transformer (DT-GPT),…

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Quality safety and disparity of an AI chatbot in managing chronic diseases: simulated patient experiments

Quality safety and disparity of an AI chatbot in managing chronic diseases: simulated patient experiments

September 25, 2025September 25, 2025npj Digital Medicine

The rapid development of AI solutions reveals opportunities to address the underdiagnosis and poor management of chronic conditions in developing settings. Using the method of simulated patients and experimental designs, we evaluate the quality,…

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NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographs

NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographs

September 25, 2025September 25, 2025npj Digital Medicine

Deep learning has proven to be an excellent tool for interpreting medical images in adults and children. However, it is still underdeveloped for neonates. This study developed NeoCLIP, a novel deep contrastive learning model…

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AI assisted prediction of unplanned intensive care admissions using natural language processing in elective neurosurgery

AI assisted prediction of unplanned intensive care admissions using natural language processing in elective neurosurgery

August 27, 2025August 27, 2025npj Digital Medicine

Timely care in a specialised neuro-intensive therapy unit (ITU) reduces mortality and hospital stays. Planned admissions to ITU following surgery are safer than unplanned ones. However, post-operative care decisions remain subjective. This study used…

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Neonatal pose estimation in the unaltered clinical environment with fusion of RGB, depth and IR images

Neonatal pose estimation in the unaltered clinical environment with fusion of RGB, depth and IR images

August 22, 2025August 22, 2025npj Digital Medicine

Visual monitoring of pre-term infants in intensive care is critical to ensuring proper development and treatment. Camera systems have been explored for this purpose, with human pose estimation having applications in monitoring position, motion,…

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Like innovation, we see data as telling us how to respond to the future rather than only revealing what has happened in the past. The information, trends and feedback we gather from consumers and patients to clinicians and staff marks the goal post for where we want to go. If the data tells a story, we decide how we can make that story a better one.

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